To understand the real world using various types of data, Artificial Intelligence (AI) is the
most used technique nowadays. While finding the pattern within the analyzed data …

The integration of artificial intelligence (AI) in healthcare has seen significant advancements,
particularly in areas requiring image interpretation. Endodontics, a specialty within dentistry …

Recent developments in the field of artificial intelligence (AI) have enabled new paradigms
of machine processing, shifting from data-driven, discriminative AI tasks toward …

In recent decades, the Variational AutoEncoder (VAE) model has shown good potential and
capability in image generation and dimensionality reduction. The combination of VAE and …

Diabetes is a global problem which impacts people of all ages. Diabetic retinopathy (DR) is
a main ailment of the eyes resulting from diabetes which can result in loss of eyesight if not …

Due to the high cost of Image Quality Assessment (IQA) datasets, achieving robust
generalization remains challenging for prevalent deep learning-based IQA methods. To …

In recent years, machine learning models like DALL-E, Craiyon, and Stable Diffusion have
gained significant attention for their ability to generate high-resolution images from concise …

Real-world events like the COVID-19 pandemic and wildfires in Australia, Europe, and
America remind us that the demands of complex operational settings are met by multiple …

Recently, generative artificial intelligence (GAI) has impressed the world with its ability to
create text, images, and videos. However, there are still areas in which GAI produces …

The rapid expansion of computational capabilities and the evergrowing scale of modern
HPC systems present formidable challenges in managing exascale scientific data. Faced …